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to investigate degradation mechanisms in depth using advanced analytics, signal processing, and frequency-domain diagnostics based on electrochemical impedance spectroscopy (EIS). The overarching goal
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engineering, data science, statistics, mathematics, physics or an adjacent subject, with focus on medical image analysis and/or deep learning. Furthermore, the following competences will be expected
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operational environments Architecting and implementing AI autoencoders (e.g., TensorFlow Lite) for intelligent sensor data feature learning Taking ownership of secure data concentrator system design that
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employees are internationals. In total, it has more than 1200 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research
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students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human